Semrush

Senior Data Scientist

Semrush

full-time

Posted on:

Location Type: Hybrid

Location: 🇨🇾 Cyprus

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Job Level

Senior

Tech Stack

AirflowDockerETLGoogle Cloud PlatformGrafanaKubernetesPandasPrometheusPythonSQL

About the role

  • Develop machine learning models and internal services supporting Semrush's SEO products (e.g., keyword search volumes, personalized keyword difficulty, search intent, authority score)
  • Collaborate with Product Owner, Technical Owner, Data Scientists and ML Engineer to implement new products
  • Build, deploy and maintain LLM-based solutions and AI agents
  • Create ETL processes and pipelines (Airflow) and manage data storage (ClickHouse, CloudSQL)
  • Deploy ML systems for batch and real-time processing and set up monitoring (Grafana, Prometheus, Alertmanager)
  • Ensure reproducible research and use tools like DVC, GitLab CI, Docker, k8s
  • Work with GCP/Vertex AI and LLM APIs to productionize models
  • Contribute to team practices, code reviews and documentation

Requirements

  • 3+ years of experience as a DS/MLE
  • Strong understanding of the principles of machine learning algorithms, probability theory, statistics, linear algebra
  • High proficiency in Python and ML stack
  • Hands-on experience working with LLMs
  • Knowledge of SQL
  • Practical knowledge of RAG and building AI agents (a plus)
  • Experience deploying and maintaining LLM-based solutions in production (a plus)
  • Experience with DVC (a plus)
  • Experience with GitLab CI (a plus)
  • Experience with GCP and Vertex AI (a plus)
  • Experience in developing ETL processes with Airflow (a plus)
  • Experience in deploying ML systems with batch/real-time processing and monitoring (Grafana, Prometheus, Alertmanager) (a plus)
  • Reproducible research
  • Familiarity with ClickHouse, CloudSQL, k8s, Docker, FastAPI, Catboost, Pandas
  • Experience with OpenAI, Google, or Anthropic LLM APIs
Benefits
  • Flexible working hours
  • Unlimited PTO
  • Flexi Benefit for your hobby
  • Employee Support Program
  • Loss of family member financial aid
  • Employee Resource Groups
  • Meals, snacks, and drinks at the office
  • Corporate events
  • Teambuilding
  • Training, courses, conferences

ATS Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningPythonLLMsSQLETL processesAirflowreproducible researchstatisticslinear algebraprobability theory
Soft skills
collaborationcode reviewsdocumentation
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